ck:ui-ux-pro-max

To generate a UI/UX design system, provide your project name and context. The system queries internal CSV datasets using a BM25 engine to output style, color, typography, and landing pattern recommendations. You receive coherent design foundations without external services.

A data-driven UI style recommendation uses rule-based reasoning and a Python BM25 engine over curated CSV datasets. It retrieves relevant styles, colors, and typography to generate comprehensive design systems, prioritizing patterns for web and mobile applications without external dependencies.

Yes, you can get stack-specific UI guidelines for mobile applications. The system applies rule-based reasoning to provide implementation guidance and best practices across multiple technology stacks, ensuring consistent design direction for mobile apps.

No, you do not need external services to create color palettes and typography rules. The skill leverages an internal Python BM25 engine over CSV resources to independently provide style, color, and typography recommendations.

The best way to build design foundations for a SaaS dashboard is using automated rule-based reasoning. It generates detailed markdown recommendations including colors, fonts, effects, and anti-patterns to ensure consistent UI/UX direction across your project.